A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data.
Qianlong Wen|Jiazheng Li|Chuxu Zhang|Yanfang Ye
| Anthology ID: | DBLP:conf/cikm/WenLZ023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2696-2705 |
| URL: | https://doi.org/10.1145/3583780.3614765 |
| DOI: | https://doi.org/10.1145/3583780.3614765 |
| DBLP: | conf/cikm/WenLZ023 |
| BibTeX: |
@inproceedings{wen-2023-multimodality,
author = {Qianlong Wen and
Jiazheng Li and
Chuxu Zhang and
Yanfang Ye},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2696--2705},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614765},
doi = {https://doi.org/10.1145/3583780.3614765}
}